Automic Automation
5.3#23 in workload automation softwareWebAPILinuxSelf-hosted
VisitAutomic Automation vs Flyte
What both publish
| Fact | Automic Automation | Flyte |
|---|---|---|
| Deployment | Deployment options include on-premises, cloud-native Kubernetes containers, and managed Automic SaaS. | Flyte 2 can run locally with a devbox or on a user's cluster; the site provides `pip install flyte` and `flyte start devbox` setup commands. |
| Integrations | Broadcom says its Automation Marketplace has hundreds of pre-built plugins and connectors, including for ServiceNow, Oracle, SAP, Google Cloud, and AWS. | The Flyte site lists integrations including Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask, and Databricks. |
| Purpose | Automic Automation orchestrates workloads across hybrid environments, from mainframes to cloud-native systems and microservices. | Flyte 2 is a durable AI runtime for workloads involving training, serving, and agents. |
Automic Automation plans
- Automic AutomationPriced on request
Flyte plans
- Flyte OSSFree
- Team$950 a month
- Union.ai Team (enterprise Flyte platform)$950 a month
- EnterprisePriced on request
Pick Automic Automation if…
It suits organizations coordinating workflows across hybrid systems, especially those needing SLA monitoring, SAP integrations, or multiple deployment choices. Teams planning downloads should account for the stated REST API and Package Manager changes.
Pick Flyte if…
Flyte suits teams building AI workflows for training, serving, or agents, particularly those needing dynamic execution and recovery from infrastructure failures. It offers local devbox and cluster deployment options.